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SASInstitute A00-408 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Loading and Exploring Data | 20% | - Import documents for analysis - Load and prepare image data - Create and explore a project in SAS Visual Text Analytics |
| Identifying Text Patterns Using Natural Language Processing Techniques | 42% | - Use Topics Node to extract machine-generated topics - Write category rules - Use Recurrent Neural Networks (RNN) to recognize patterns - Use Concepts and Text Parsing Nodes to extract terms and concepts - Write concept rules - Use rules to identify documents belonging to specific categories |
| Identifying Image Patterns Using Computer Vision Techniques | 38% | - Score new image data - Apply regularization techniques - Use convolutional layers in a Convolutional Neural Network (CNN) - Tune CNN hyperparameters - Use fully connected layers in a CNN - Use output layers in a CNN - Use pooling in a CNN - Use padding in a CNN |
